توسعه روش تصمیم گیری DANP براساس مجموعه های فازی تردیدی بازه مقدار

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران

2 دانشیار، گروه مدیریت صنعتی، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران

3 استاد، گروه مدیریت صنعتی، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران

چکیده

روش های تصمیم گیری چند شاخصه نقش مهمی در حل مسائل دنیای واقعی دارند. پیچیدگی مسائل و عدم اطمینان و ابهام در اطلاعات سبب می شود که تصمیم گیری برای مدیران سخت و دشوار شود. مجموعه های فازی ابزاری مناسب جهت رفع ابهام و مقابه با عدم قطعیت است. مجموعه های فازی تردیدی و مجموعه های فازی تردیدی بازه مقدار شکل های توسعه یافته مجموعه های فازی هستند. در این تحقیق، روش تصمیم گیریDANP در فضای فازی تریدی بازه مقدار معرفی شده است. ابتدا درجه انحراف IVHFE ها فرموله شده و عملگر تفریق و تقسیم IVHFE ها ارائه شده است. سپس عملگر جدیدی جهت تشخیص بهتر HFEها یا IVHFE ها معرفی شده که به طور همزمان مقدار تابع امتیاز و درجه انحراف را شامل می شود. در ادامه اصول و مبانی روش IVHF-DANP توضیح داده شده است. در نهایت، برون سپاری فعالیت های یک شرکت هواپیمایی، توسط روش پیشنهادی مورد بررسی قرار گرفته است. بر اساس نتایج تحقیق، ابعاد ریسک، سازگاری، کیفیت و هزینه به ترتیب اهمیت قرار می گیرند. هم چنین معیار انعطاف پذیری در صورت حساب ها دارای اهمیت بیشتری نسبت به سایر معیارها می باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Extension of the DANP decision making method based on interval-valued hesitant fuzzy sets

نویسندگان [English]

  • mehdi divsalar 1
  • Abdolhamid Safaei Ghadikolaei 2
  • Mehrdad Madhoushi 3
1 Ph.D student, Production and Operations Management, University of Mazandaran
2 Associate Professor, Department of Industrial Management, Faculty of Economic and Administrative Science, University of Mazandaran, Babolsar, Iran
3 Professor, Department of Industrial Management, Faculty of Economic and Administrative Science, University of Mazandaran, Babolsar, Iran
چکیده [English]

Multi attribute decision making methods have an important role in solving real life problems. Decision making is difficult for managers due to the complexity of the problems and the uncertainty and vagueness of information. Interval-valued hesitant fuzzy set (IVHFS) is an effective tool to express uncertainty, vagueness and hesitancy. HFS and IVHFS are extensions of fuzzy set. In this paper, we develop the DEAMATEL-based analytic network process (DANP) method to solve the MADM problems with IVHFS information. Firstly, the deviation degree for interval-valued hesitant fuzzy elements (IVHFEs) is described and then the subtraction and division operations for IVHFEs is introduced. After which, for a better recognition of HFE or IVHFE, a new operator is proposed which simultaneously takes into account the score value and the deviation degree.  Next, the basics of DANP method are presented and after which, the principles and steps of the developed DANP method are introduced. Finally, the outsourcing of an airline company is verified by using the proposed method. Based on the result, the risk dimension is most important followed by compatibility, quality and cost. Also, flexibility in billing is the most important criterion.

کلیدواژه‌ها [English]

  • Interval-valued hesitant fuzzy sets
  • MADM
  • DANP
  • IVHF-DANP

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